central-tendency
There are 114 repositories under central-tendency topic.
rafi007akhtar/stapy
Python package containing functions implemented for descriptive and inferential statistics.
lpinzari/homogeneity-location-index
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
Aditee5/Stats-Stars
Business Analyst Portfolio
dilaragokay/central-tendency-rotations
Computation of mean, median, and mode of a set of rotations (quaternions)
stdlib-js/stats-base-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
stdlib-js/stats-base-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
stdlib-js/stats-base-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
stdlib-js/stats-base-dmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
stdlib-js/stats-base-dmeanstdev
Calculate the mean and standard deviation of a double-precision floating-point strided array.
stdlib-js/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dmeanvar
Calculate the mean and variance of a double-precision floating-point strided array.
stdlib-js/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
stdlib-js/stats-base-dsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
stdlib-js/stats-base-dsmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
stdlib-js/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
stdlib-js/stats-base-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
stdlib-js/stats-base-meankbn
Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
stdlib-js/stats-base-sdsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.
stdlib-js/stats-base-smean
Calculate the arithmetic mean of a single-precision floating-point strided array.
stdlib-js/stats-base-smeankbn
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
stdlib-js/stats-base-smeanlipw
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
stdlib-js/stats-base-smeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
stdlib-js/stats-base-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
stdlib-js/stats-base-snanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
stdlib-js/stats-base-snanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
stdlib-js/stats-base-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
stdlib-js/stats-incr-gmean
Compute a geometric mean incrementally.
stdlib-js/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
stdlib-js/stats-incr-mgmean
Compute a moving geometric mean incrementally.
stdlib-js/stats-iter-cugmean
Create an iterator which iteratively computes a cumulative geometric mean.
stdlib-js/stats-iter-cumeanabs
Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.
stdlib-js/stats-iter-cumeanabs2
Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.
stdlib-js/stats-iter-meanabs
Compute the arithmetic mean of absolute values for all iterated values.
stdlib-js/stats-iter-mmean
Create an iterator which iteratively computes a moving arithmetic mean.
stdlib-js/stats-iter-mmidrange
Create an iterator which iteratively computes a moving mid-range.